Hadron time-dependent cross-sections using Gaussian Processes

Tool for creating various functional forms for time-dependent cross-sections useful to understand hadron formation in a model independent fashion. For physics details, please refer to arXiv:2501:XXXXX.

Dependencies

The following Python libraries are required for sucessful results:

• pyyaml
• numpy
• pandas
• matplotlib
• openapi-core

which can be installed through

pip install pyyaml numpy pandas matplotlib openapi-core

Usage

Generation of time-dependent cross-section functional forms is performed by executing

python3 src/main.py input/config.yml

The output will be witten to the output directory in tabular form, along with the corresponding plots of generated data.

Notes

• Ensure all dependencies are installed
• Adjust hyperparameters in config.yaml to experiment with different cross-section behaviors

Acknowledgements

This work has been supported by the Sateurated Glue (SURGE) Topical Theory Collaboration.